Physical integrity
Physical integrity is the protection of the wholeness and accuracy of that data as it’s stored and retrieved. When natural disasters strike, power goes out, or hackers disrupt database functions, physical integrity is compromised. Human error, storage erosion, and a host of other issues can also make it impossible for data processing managers, system programmers, applications programmers, and internal auditors to obtain accurate data.
Logical integrity
Logical integrity keeps data unchanged as it’s used in different ways in a relational database. Logical integrity protects data from human error and hackers as well, but in a much different way than physical integrity does.
Domain integrity
Domain integrity is the collection of processes that ensure the accuracy of each piece of data in a domain. In this context, a domain is a set of acceptable values that a column is allowed to contain. It can include constraints and other measures that limit the format, type, and amount of data entered.
Data Integrity Solutions
Data loss is a particularly stressful problem for companies that hold a large volume of personally identifiable information in different legal jurisdictions. Accessing data that may have privacy implications for individuals is sometimes unavoidable but ensuring that the data doesn’t leave your environment becomes critical. Ahaka Solutions can help you create a structured data loss risk management program and a clear set of controls to mitigate data loss risks. Ahaka Solutions can help you implement DLP controls, combining strategic, operational and tactical measures.
Ahaka Solutions follows the process that consists of determining the scope of the problem, implementing a corrective action plan, and removing at all levels individuals responsible for problems. We plan the step-by-step process for auditing.
Ahaka Solutions
Compliance
Service providers face a heavy compliance burden, imposed by both regulators and contracts. Anything less than strict compliance can lead to fees, sanctions, lost business, and a tarnished reputation. Data integrity can put compliance at risk because a business must be able to prove that they have followed every requirement during every service engagement.
Efficiency
You can blame a lot of business blunders on problems with communications, collaboration, or coordination. All those issues relate to data integrity in some way. Which makes sense – when team members do not share the same quality information, it leads to numerous points of friction and various process breakdowns.
Insight
The clearest insights and best decisions come from quality data. Alternatively, incomplete, inaccurate, or unavailable data can only result in unpredictable, unwanted outcomes. For every decision that is based on data, from scheduling technicians to ordering parts to building next year’s budget, information can either point you in the right direction or point you astray.